The Age of Digital Health Literacy: Making Health Decisions in an Era of Information Overload
"The diet that cures cancer." "The health secret your doctor won't tell you." "This supplement adds 10 years to your life." -- Open your smartphone and headlines like these flood your screen daily. The spread of the internet has given everyone free access to health information that was once the exclusive domain of medical professionals. But behind this benefit, scientifically unsubstantiated information, inaccurate claims, and intentionally false content have proliferated explosively. This phenomenon, which the World Health Organization (WHO) calls an "infodemic," intensified during the COVID-19 pandemic and has reached the point of distorting health decisions and, at times, costing lives.
The Infodemic: When Information Overload Harms Health
In 2020, during the early stages of the COVID-19 pandemic, the WHO warned that an "infodemic" -- a state in which vast quantities of both accurate and inaccurate information flood the landscape, making it difficult for people to identify trustworthy sources -- was spreading alongside the virus itself. This warning proved prescient. According to a systematic review published in The Lancet Digital Health in 2022 (Suarez-Lledo & Alvarez-Galvez), approximately 25% of social media posts about COVID-19 contained inaccurate information, a significant portion of which was deliberate disinformation.
The real-world harm of the infodemic has been severe. Cases were reported in Iran of people dying after ingesting methanol (industrial alcohol) based on false claims about COVID-19, and in the United States of people drinking bleach. In Japan as well, inaccurate information about vaccines spread widely through social media and contributed to vaccine hesitancy. A 2021 survey showed that COVID-19 vaccination intent in Japan was lower compared to other developed nations, and exposure to anti-vaccine information on social media was statistically significantly associated with decreased vaccination intent.
However, the infodemic problem is not limited to pandemics. Reliance on "alternative therapies" in cancer treatment, the persistent spread of the debunked hypothesis linking autism to vaccines, and unfounded confidence in supplements -- these are all problems that existed before the digital age, amplified by the explosive information-dissemination power of the internet and social media. At the root of this problem lies a deficiency in "health literacy" -- the ability to obtain, understand, evaluate, and apply health information.
What Is Health Literacy? The Evolution of the Concept
The concept of health literacy has evolved significantly over the past 30 years. Early definitions focused on "functional literacy" -- the ability to read and understand documents provided in healthcare settings (prescriptions, consent forms, pamphlets, etc.). However, a groundbreaking paper published by Nutbeam (2000) in Health Promotion International presented a framework classifying health literacy into three levels. The first level, "functional health literacy," refers to the basic ability to read and understand health information. The second level, "interactive health literacy," refers to the ability to draw out information through dialogue with healthcare providers and apply it to daily life. The third level, "critical health literacy," refers to the ability to critically analyze health information, judge its reliability and applicability, and further take action on the social and political determinants of health.
In the digital age, this concept has been further expanded. Norman & Skinner (2006) proposed the concept of "eHealth Literacy," defining it as the integration of six literacies: traditional literacy, health literacy, information literacy, scientific literacy, media literacy, and computer literacy. In other words, health decision-making competence in the digital age is not simply about possessing health knowledge -- it is a composite ability encompassing the use of digital tools, evaluating the credibility of information sources, understanding scientific methodology, and detecting media bias.
The HLS-EU survey (European Health Literacy Survey), conducted across eight European countries, was the first large-scale international comparative study to measure health literacy in practice. According to this survey, 47.6% of European citizens had health literacy levels that were "insufficient" or "problematic." In other words, approximately half of all citizens did not have an adequate ability to properly understand and make judgments about health information -- a shocking result. This figure demonstrates that the health literacy problem is not confined to "people with low education levels" but is a structural challenge spanning all of society.
The State of Health Literacy in Japan
So how does Japan fare in terms of health literacy? Research by Professor Takeo Nakayama of Kyoto University and colleagues (Nakayama et al., 2015) provided a sobering answer. When Japanese health literacy was measured using the same scale as the HLS-EU, Japanese scores were significantly lower than the average across the eight EU countries. Japan recorded lower scores than the EU average in all three domains: "healthcare," "disease prevention," and "health promotion."
This result may seem surprising at first. Japan has the world's longest life expectancy, a universal health insurance system, and high educational attainment. However, Nakayama and colleagues pointed to the "paternalism" in Japan's medical culture -- the traditional physician-patient relationship -- as a contributing factor to low health literacy. In Japan, patients have traditionally been expected to follow doctors' instructions, and a culture of "shared decision-making," where patients independently gather information and engage in equal dialogue with physicians, has been slow to develop. As a result, there may have been insufficient experience in independently evaluating and judging health information, hindering the development of critical health literacy.
Furthermore, clear social disparities exist in health literacy. Significant differences in health literacy scores have been found based on age, educational attainment, and income level -- older adults, those with fewer years of education, and lower-income individuals tend to have lower health literacy. The digital divide (disparities in access to information and communication technology) further widens these gaps. Because older adults and lower-income individuals have limited internet access and digital skills, they have fewer opportunities to utilize online health information and are more likely to rely on fragmentary information from television and social media. The health literacy gap is one of the critical mechanisms that reproduces health inequalities.
The Hierarchy of Evidence and How to Read Research Papers
The fundamental framework for evaluating the reliability of health information is the "hierarchy of evidence." This hierarchy ranks the quality of evidence based on the methodological rigor of research designs. At the top sit "meta-analyses" and "systematic reviews," which synthesize results from multiple randomized controlled trials (RCTs). Below these are individual RCTs, cohort studies (prospective observational studies), case-control studies (retrospective observational studies), cross-sectional studies, case reports and case series, and at the bottom, expert opinions.
Understanding this hierarchy is extremely practical for everyday health decision-making. For example, when news reports that "coffee reduces cancer risk," it matters enormously whether this is based on a single cross-sectional study or on a meta-analysis of multiple cohort studies. Another important distinction that media reporting on research often overlooks is the difference between "statistical significance" and "clinical significance." When a p-value is below 0.05, the result is considered statistically significant, but whether the effect size is clinically meaningful is an entirely separate question. In a study of 100,000 participants, a biologically trivial difference can still reach statistical significance.
An increasingly prominent approach to evidence evaluation is the GRADE system (Grading of Recommendations, Assessment, Development and Evaluation). GRADE comprehensively evaluates not just research design but also the risk of bias, consistency of results, directness, precision, and publication bias, classifying the certainty of evidence into four levels: "high," "moderate," "low," and "very low." Additionally, caution is needed with "preprints" (pre-peer-review papers), which gained attention during the COVID-19 pandemic. While preprints contribute to rapid information sharing, because they have not undergone peer review, they may contain serious methodological flaws. In the early stages of the pandemic, several cases were reported in which preprints that were later retracted had significantly influenced policy decisions and media reporting.
Distinguishing Reliable Health Information: A Practical Guide
So how can ordinary citizens distinguish reliable health information? Eysenbach (2020) proposed the approach of "infodemiology" -- information epidemiology -- as a countermeasure to the infodemic, but evaluation criteria that individuals can apply also exist. First, verify the source. Is the information based on research published in peer-reviewed academic journals? Is the author an expert in the relevant field? Are there any conflicts of interest -- such as funding from a supplement company -- affecting the author or research institution? These checks are the first step in evaluating information credibility.
Second, checking for HONcode (Health On the Net Foundation Code of Conduct) certification, an international quality standard for medical information on the web, is useful. HONcode certifies that a website's health information meets specific quality standards, including criteria for information transparency, author qualifications, and privacy protection. However, the absence of HONcode certification does not automatically indicate that information is unreliable, and it should be used as a supplementary indicator.
Third, be wary of "miracle cures." Claims such as "this single remedy cures all diseases," "the truth doctors are hiding from you," or "dramatic improvement in just one week" almost invariably lack scientific evidence. Medical advances do occur, but they are typically reported in modest and qualified terms: "Treatment group A showed a 20% improvement in outcome X compared to the control group (p=0.03, 95% CI: 5-35%)" -- this is the typical format of scientific reporting, with no place for the vocabulary of "miracles" or "revolutions." And the most important practice of all is to consult your primary care physician when you have health questions or concerns. Information found on the internet should complement, never replace, dialogue with medical professionals. At HORIZON, we maintain an editorial policy of citing peer-reviewed papers as sources in every article and verifying the absence of conflicts of interest on the part of our authors. We believe that transparency -- enabling readers to always verify "what is the basis for this article?" -- is the minimum standard for a trustworthy health media outlet.
Sources & References
- Nutbeam, D. "Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century." Health Promotion International, 15(3), 259-267, 2000.
- Norman, C.D. & Skinner, H.A. "eHealth Literacy: Essential Skills for Consumer Health in a Networked World." Journal of Medical Internet Research, 8(2), e9, 2006.
- Nakayama, K. et al. "Comprehensive health literacy in Japan is lower than in Europe: a validated Japanese-language assessment of health literacy." BMC Public Health, 15, 505, 2015.
- World Health Organization. "Managing the COVID-19 infodemic: Promoting healthy behaviours and mitigating the harm from misinformation and disinformation." Joint statement by WHO, UN, UNICEF, UNDP et al., 2020.
- Eysenbach, G. "How to Fight an Infodemic: The Four Pillars of Infodemic Management." Journal of Medical Internet Research, 22(6), e21820, 2020.
- Suarez-Lledo, V. & Alvarez-Galvez, J. "Prevalence of Health Misinformation on Social Media: Systematic Review." Journal of Medical Internet Research, 23(1), e17187, 2021.
- Sorensen, K. et al. "Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU)." European Journal of Public Health, 25(6), 1053-1058, 2015.
- Nakayama, T. "Introduction to Health Informatics: Helping Citizens Find Accurate Information." Taishukan Shoten, 2014.
- Guyatt, G. et al. "GRADE: an emerging consensus on rating quality of evidence and strength of recommendations." BMJ, 336, 924-926, 2008.
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